DOI: 10.14489/td.2019.08.pp.012-021
Stepanova L. N., Chernova V. V., Ramazanov I. S. USING CLUSTERING METHODS FOR PROCESSING ACOUSTIC-EMISSION INFORMATION (pp. 12-21)
Abstract. The analysis of the developed methods of cluster analysis of acoustic emission signals (AE), performed during the welding process and in the process of strength testing of composite samples and structures, was performed. Clustering in digital form, informative parameters of AE signals, front edge rise rate, as well as dynamic and two-stage clustering are considered. The examples of the use of the developed cluster analysis methods in the control of welding defects, composite samples and elements of aircraft structures during static and cyclic testing are shown. The advantages and disadvantages of various clustering methods for processing AE information are determined.
Keywords: cluster analysis, welding, static and cyclic tests, acoustic emission, parameters, location, signal processing.
L. N. Stepanova (Federal State Unitary Enterprise “Siberian Aeronautical Research Institute named after S. A. Chaplygin”, Novosibirsk, Russia) E-mail:
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V. V. Chernova (The Siberian Transport University, Novosibirsk, Russia) E-mail:
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I. S. Ramazanov (Federal State Unitary Enterprise “Siberian Aeronautical Research Institute named after S. A. Chaplygin”, Novosibirsk, Russia) E-mail:
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1. Ser'eznov A. N., Stepanova L. N., Kabanov S. I. et al. (2018). Acoustic emission control of welding defects. Novosibirsk: Nauka. [in Russian language] 2. Li L., Lomov S.V., Yan X. (2014). Cluster analysis of acoustic emission signals for 2D and 3D woven glass/epoxy composites. Composite Structures, pp. 286 – 299. Belgium: Elsevier. 3. Godin N., Huguet S., Gaertner R. (2004). Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifier. NDT&E International, Vol. 37, pp. 253 – 264. 4. Calabrese L., Campanella G. (2010). Use of cluster analysis of acoustic emission signals in evaluating damage severity in concrete structures. Journal of Acoustic Emission, Vol. 28, pp. 129 – 141. 5. Bashkov O. V., Panin S. V., Byakov A. V. et al. (2014). Identification of sources of acoustic emission to determine the criteria for the destruction of materials and structures. XX All-Russian Scientific and Technical Conference on Non-Destructive Testing and Technical Diagnostics: conference reports, pp. 382 – 385. Moscow: ID «Spektr». [in Russian language] 6. Ser'eznov A. N., Stepanova L. N., Murav'ev V. V. et al. (2007). The method of quality control installation of acoustic transducers on a metal structure and device for its implementation. Ru Patent No. 2 299 429. Russian Federation. [in Russian language] 7. Stepanova L. N., Kabanov S. I., Ramazanov I. S. et al. (2017). Analysis of errors in the location of multipass welding defects using various clustering methods. Defektoskopiya, (2), pp. 10 – 17. [in Russian language] 8. Stepanova L. N., Kabanov S. I., Ramazanov I. S. (2008). Wavelet filtering in problems of localization of acoustic emission signals. Kontrol'. Diagnostika, (1), pp. 15 – 19. [in Russian language]
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